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The pressure is palpable. “AI-ify” your organization to unlock productivity, scale and innovation.
For 74% of CEOs, delivering measurable AI business gains is a job requirement, yet only 12% have a formal roadmap for AI implementation that extends just one year.
The mandate is clear, but where to start for measurable business process optimization remains a mystery. The uncomfortable truth is that with the rush for results, AI pilots are falling flat — built on guesswork and broken processes.
Meanwhile, "work waste" continues to eat away at employees valuable time. Reinventing processes that already exist, new hires trying to self-teach what veterans already know, and teams debating decisions that have already been made successfully elsewhere in the company.
“AI isn’t your solution until it understands your situation. That starts with your workflows.” — Jennifer Smith, CEO & Co-Founder of Scribe
👉 Register now for Scribe’s live launch on November 12 to see the future of Workflow AI.
AI can’t fix what it can’t see
According to a viral MIT study, 95% of organizations saw no measurable ROI from their generative AI pilots.
What are the 5% doing differently? They’re not just buying more tools, they’re building smarter foundations. They’re integrating AI into their actual workflows, continuously rather than bolting it on after the fact.
For AI to have impact, it needs the right inputs. AI efforts can’t succeed without visibility into how work flows across teams and tools. Too often, AI is deployed without that crucial context.
“Organizations treat knowledge like a finite resource — instead of something that multiplies when shared.”
— Jennifer Smith
Workflow AI: Intelligence built on visibility
Workflow AI is an emerging category of enterprise software that uses artificial intelligence to capture, analyze, and improve how work gets done — automatically.
It gives companies real-time visibility into how work actually happens — then recommends improvements based on real behavior, not assumptions.
In short: It makes your workflows visible, your teams faster, and your processes smarter.
At Scribe, we see Workflow AI as the foundation of the modern enterprise. It’s how organizations:
- Capture processes as they happen
- Analyze patterns to identify friction, duplication, and waste
- Optimize workflows through automation and standardization
- Scale best practices across teams and tools
It’s a closed-loop system: capture → analyze → optimize → scale.
That’s how business process optimization becomes continuous, not just a one-time audit.
This isn’t just about saving time. It’s about making your operations smarter, more scalable, and measurable by design.
When your workflows are visible, AI becomes meaningful, and optimization becomes measurable.
Build the foundation before you scale AI
The companies that win the next wave of AI transformation won’t be the ones that adopt the most tools.
They’ll be the ones that understand their workflows.
They’ll know where time is lost, where mistakes happen, and where their teams shine. They’ll treat process knowledge as a living asset — not a one-time doc.
And they’ll use Workflow AI as the foundation to scale faster, with more clarity and less guesswork.
TL;DR
- AI can’t improve workflows it can’t see — and most companies still lack visibility into how work actually happens.
- “Work waste” happens when knowledge is trapped, duplicated, or lost — costing teams time and momentum.
- Workflow AI is the solution: it turns how work gets done into real-time, actionable knowledge.
- Scribe’s Workflow AI Platform is leading the movement — and we’re about to unveil what’s next.
Save your spot for the live launch announcement →
